Managing Data in Motion, 1st Edition

Elsevier Science

For more than 65 years, Elsevier has been an award-winning provider of leading-edge data and education resources to information professionals worldwide.

ISBN-10: 0123977916

ISBN-13: 9780123977915

DDC: 005.74

Grade Level Range: College Freshman
- College Senior

204 Pages | eBook

Original Copyright 2013 | Published/Released June 2014

This publication's content originally published in print form: 2013

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About

Overview

Managing Data in Motion describes techniques that have been developed for significantly reducing the complexity of managing system interfaces and enabling scalable architectures. Author April Reeve brings over two decades of experience to present a vendor-neutral approach to moving data between computing environments and systems. Readers will learn the techniques, technologies, and best practices for managing the passage of data between computer systems and integrating disparate data together in an enterprise environment. The average enterprise's computing environment is comprised of hundreds to thousands computer systems that have been built, purchased, and acquired over time. The data from these various systems needs to be integrated for reporting and analysis, shared for business transaction processing, and converted from one format to another when old systems are replaced and new systems are acquired. The management of the "data in motion" in organizations is rapidly becoming one of the biggest concerns for business and IT management. Data warehousing and conversion, real-time data integration, and cloud and "big data" applications are just a few of the challenges facing organizations and businesses today. Managing Data in Motion tackles these and other topics in a style easily understood by business and IT managers as well as programmers and architects.